Background: Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, risk stratification and prediction of SARS-CoV-2 patient clinical outcomes upon ICU admission remain inadequate. This study aimed to develop a machine learning model, based on retrospective & prospective clinical data, to stratify patient risk and predict ICU survival and outcomes.
View Article and Find Full Text PDFBackground/aims: The study examined the interdependent effects of shear stress and different leukocyte subpopulations on endothelial cell activation and cell interactions during low flow and reperfusion.
Methods: Human umbilical venous endothelial cells were perfused with either neutrophils or monocytes at different shear stress (2-0.25 dyn/cm(2)) and adhesion was quantified by microscopy.
Scand J Clin Lab Invest
September 2011
Aim: Phagocytosis is often measured using conventional microscopy and flow cytometry. ImageStream cytometry is a new technology that combines the advantages of both methods, enabling statistically robust microscopic applications. We compared ImageStream cytometry to flow cytometry in a whole blood model of phagocytosis with viable, fluorescence-marked Staphylococcus aureus.
View Article and Find Full Text PDFObjective: The patency of venous conduits after aortocoronary bypass grafting is still not satisfactory and needs to be improved. Atherosclerotic alterations mediated by adhesion molecules triggering the transmigration of leukocytes are regarded as one of the major causes for venous graft failure. This study deals with short interfering RNA (siRNA)-mediated silencing of adhesion molecule expression on venous endothelial cells, which could lead to a new therapeutic strategy, resulting in improved patency rates by inhibiting early graft alterations.
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